SynthesisClinical obesity2026
Weight-Lowering Drugs and Natural Female Fertility-A Systematic Review and Meta-Analysis.
Synthesis in Clinical obesity, 2026. The graph read 1 number from its abstract, feeding 2 cells of the map, but none could be read as for or against, so it casts no vote. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
Read, but not usablea number the graph found but could not read as for or against
A meta-analysis of ovulation rates comparing orlistat and metformin showed no significant difference (RR = 0.78, 95% CI: 0.41-1.49; p = 0.45).
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Where it lands on the map
Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.
What it adds to each cell
For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.
Anti-obesity drugs×pregnancy & neonatal
No readable resultOpen on the map →What to test next →No other readable study in this cell yet. This paper is the evidence.
Metformin×pregnancy & neonatal
No readable resultOpen on the map →What to test next →3 readable studies in this cell: 0 favour the treatment, 3 find no difference, 0 favour the comparator.
This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The marked sentences are the ones the graph read a number from.
Overweight and obesity are global health concerns linked to impaired female fertility. Weight-lowering drugs are an alternative for achieving weight loss; however, their effect on natural female fertility is unclear. A systematic review and meta-analysis were conducted to summarise the literature on the effects of weight-lowering drugs on ovulation, conception, pregnancy and live birth rates. Inclusion criteria comprised interventional and observational studies involving women with overweight or obesity receiving weight-lowering drugs, compared with non-users, lifestyle modifications or other medications. MEDLINE, Embase, CINAHL, CENTRAL and ClinicalTrials.gov were searched, yielding 2731 records. After screening, seven clinical trials were included (n = 575), six of which were randomised. Sample sizes ranged from 40 to 120 women aged 25.9-29.7 years. Six trials evaluated orlistat, while one assessed semaglutide. In four trials, orlistat was associated with a higher ovulation rate than lifestyle modifications. A meta-analysis of ovulation rates comparing orlistat and metformin showed no significant difference (RR = 0.78, 95% CI: 0.41-1.49; p = 0.45). Two studies reported pregnancy rates: one found a higher rate with orlistat compared to lifestyle modifications (23.3% vs. 6.7%, p = 0.044), and another showed that adding semaglutide to metformin increased the pregnancy rate compared to metformin alone (35% vs. 15%, p < 0.05). Future studies should address current limitations and evaluate the effects of newer weight-lowering drugs on natural pregnancy and live birth rates in adequately powered studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.